Implementing Text Summarization techniques on 'CNN DialyMail' dataset, using both 'Extractive' and 'Abstractive' strategies.

Natural Language Processing for Google Play Applications. Where sentiment analysis was used on reviews to decide on new features to recommend developers.

This repository contains the implementation of our paper "Auto-labelling of Bug Report using Natural Language Processing". Our paper introduces an NLP-based method using bug report attributes, leveraging a neural network for retrieval.

The goal of the presidential vocabulary program is to find the most similar words to a given word based on all the speeches made by U.S. presidents. It uses Selenium to scrape transcripts of speeches from the Miller Center website.

this repo contains files for my analysis on disney land visitor reviews using NLP

Exploratory Data Analysis on various data set.

FAQ Page which helps user in finding relevant answers for the questions using NLP

The repository contains Jupyter notebooks for various NLP tasks.

cv selection

Romanian Word Embeddings. Here you can find pre-trained corpora of word embeddings. Current methods: CBOW, Skip-Gram, Fast-Text (from Gensim library). The .vec and .model files are available for download (all in one archive).

This project explores the realm of Natural Language Processing (NLP) using Word2Vec and FastText models. Dive into domain-specific embeddings, analyze clinical trials data related to Covid-19, and uncover the power of AI and ML in understanding textual data.🌟

News Article Insights is a Python project that uses the NewsAPI to fetch articles on specific companies and keywords. It extracts content and performs text analysis, including sentiment analysis, named entity recognition, and topic modeling, to uncover trends and public sentiment, providing valuable insights into the media landscape.

Applying Word 2 Vec Algorithm on Reddit comments

Latent Dirichlet allocation

Scraping the employee reviews of the company and extracting the main topics or issues employees are talking about.

Twitter Sentiment Analysis

Topic extractor with the idea of generating labels using genism.n_similarity

Improve access to healthcare services and reduce costs.

userfriendly bot normally interacts as friend

🐬 Reviewer recommendation system for Pull Requests in github using social network analysis and topic modeling.